- Related Research Areas
- Atmospheric Composition
This proposal responds to the needs for long-term profile measurements of ozone in the troposphere and stratosphere; temperature in the troposphere, stratosphere, and mesosphere; and aerosols in the upper troposphere and stratosphere. Column densities of ozone can also be inferred by integrating segments of the pro¬files. The measurements will be made by ground-based lidars at TMF and MLO. These locations are important stations within NDACC and the lidar measurements have undergone rigorous vali¬dation through numerous intercomparison campaigns. Continuous lidar measurements of O3, T, and aerosols have been made at these sites for more than 15 years, revealing detailed information on interannual variations and long-term changes in these parameters, and early indications of ozone recovery in the stratosphere have been observed in our data. They have also successfully contributed to many satellite validation and correlative measurement programs. Measurements are routinely made 3-4 times per week and additional measurements are coordinated with satellite overpass times or other requests. TMF and MLO both have significant capa¬bility for other high priority correlative measurements that can be made simultaneously with the lidar observations, increasing the value of these stations, but which are not covered by this proposal. To add to our understanding of atmospheric composition changes, activities at TMF include transport studies in the UT/LS by use of a high-resolution Isentropic Potential Vorticity (PV) Advection model. In addition to using the ECMWF or NCEP analysis/ reanalysis data for a posteriori studies, this model provides real-time PV forecasts, allowing the lidars to run in a predictive way during time windows corresponding to atmospheric events of specific scientific interest. The model outputs can also be used to increase the number of satellite coincidences with TMF and MLO by identifying air mass characteristics over the ground-based stations and matching them spatio-temporally with more distant overpasses.
Project PI: Iain McDermid/Jet Propulsion Laboratory
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